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On Levy's theorem concerning positiveness of transition probabilities of Markov processes: the circuit processes case

Published online by Cambridge University Press:  14 July 2016

S. Kalpazidou*
Affiliation:
Aristotle University of Thessaloniki
*
Postal address: Department of Mathematics, Aristotle University of Thessaloniki, 54006 Thessaloniki, Greece.

Abstract

We prove Lévy's theorem concerning positiveness of transition probabilities of Markov processes when the state space is countable and an invariant probability distribution exists. Our approach relies on the representation of transition probabilities in terms of the directed circuits that occur along the sample paths.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1993 

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References

[1] Chung, K. L. (1967) Markov chains with Stationary Transition Probabilities, 2nd edn. Springer-Verlag, Berlin.Google Scholar
[2] Chung, K. L. (1988) Reminiscences of some of Paul Levy's ideas in Brownian motion and in Markov chains. Colloque Paul Lévy sur les Processus Stochastiques (Palaiseau, 1987). Astérisque 157158, 29-36.Google Scholar
[3] Iosifescu, M. (1969) Sur les chaînes de Markov multiples. Bull. Inst. Internat. Statist. 43(2), 333335.Google Scholar
[4] Iosifescu, M. and Tautu, P. (1973) Stochastic Processes and Applications in Biology and Medicine, I, Theory. Springer-Verlag, Berlin. Edit. Acad., Bucharest.Google Scholar
[5] Kalpazidou, S. (1988) On the representation of finite multiple Markov chains by weighted circuits. J. Multivariate Anal. 25, 241271.CrossRefGoogle Scholar
[6] Kalpazidou, S. (1990) Asymptotic behaviour of sample weighted circuits representing recurrent Markov chains. J. Appl. Prob. 27, 545556.CrossRefGoogle Scholar
[7] Kalpazidou, S. (1991) Continuous parameter circuit processes with finite state space. Stoch. Proc. Appl. 39, 301323.CrossRefGoogle Scholar
[8] Kalpazidou, S. (1992) On the weak convergence of sequences of circuit processes: a probabilistic approach. J. Appl. Prob. 29, 374383.CrossRefGoogle Scholar
[9] Kalpazidou, S. (1993) On the weak convergence of sequences of circuit processes: a deterministic approach.Google Scholar
[10] Levy, P. (1951) Systèmes markoviens et stationnaires. Cas dénombrable. Ann. Sci. Ecole Norm. Sup. 68, 327381.CrossRefGoogle Scholar
[11] Levy, P. (1958) Processus markoviens et stationnaires. Cas dénombrable. Ann. Inst. H. Poincaré 16, 725.Google Scholar
[12] Minping, Qian, Min, Qian and Cheng, Qian (1982) Circulation distribution of a Markov chain. Scientia Sinica A25, 3140.Google Scholar